5636715

Gabor transform for computing the Gabor coefficients

用来求解某一函数的梯度，维数可以很大，上万维也可以(Used to solve the gradient of a function, the dimension can be large, on the World Wide Web can also be)

NP是美国匹兹堡大学的T.L.Saaty 教授于1996年提出了一种适应非独立的递阶层次结构的决策方法，它是在网络分析法（AHP）基础上发展而形成的一种新的实用决策方法。其关键步骤有以下几个： 1 确定因素，并建立网络层和控制层模型。 2 创建比较矩阵。 3 按照指标类型针对每列进行规范化。 4 求出每个比较矩阵的最大特征值和对应的特征向量。 5 一致性检验。如果不满足，则调整相应的比较矩阵中的元素。 6 将各个特征向量单位化(归一化)，组成判断矩阵。 7 将控制层的判断矩阵和网络层的判断矩阵相乘，得到加权超矩阵。 8 将加权超矩阵单位化(归一化)，求其K次幂收敛时的矩阵。其中第j列就是网络层中各元素对于元素j的极限排序向量。 (NP is a professor at the University of Pittsburgh TLSaaty presented in 1996, an adaptation of non-independent Hierarchy of decision-making method, which is the analytic network process (AHP) formed on the basis of the development of a new and practical decision-making method . The key steps are the following: A determining factor, and a network layer and control layer model. 2 create a comparison matrix. For each of the three types of indicators in accordance with normalized columns. 4 find the maximum for each comparison matrix eigenvalue and the corresponding eigenvectors. 5 consistency test. If not satisfied, then the comparison to adjust the corresponding matrix elements. 6 will each feature vector units of (normalized), to determine the composition of matrix. 7 to determine the control layer and network layer to determine matrix matrix multiplication, to be weighted super-matrix. 8 of the weighted super-matrix units of (normalized), seeking the powe)

matlab 做montecarlo的入门(matlan)

This is a simple sample of crypto

LZ compression LZ decompression

主要是利用MATLAB来实现系统的聚类分析，其中包括代码和功能说明。(Is to use MATLAB to implement the system of cluster analysis, including code and functional specifications.)

学习MATLAB很好的课件，非常全面，对于新手更是好工具！(good file)

说明：  关于MATLAB的一些非常值得应用的经典程序集！(With regard to some very worthy of MATLAB applications classic assembly!)

说明：  图像滤波，高斯，均值，中值，滤波源代码 Image Filtering/dftfilt.m, Image Filtering/directinv.m, Image Filtering/gaussianLR.m, Image Filtering/medianfilt.m, Image Filtering/rgblaplacian.m, Image Filtering/rgbspatial.m, Image Filtering/spatial.m, Image Filtering/wiener.m (Image filtering, Gaussian, mean, median)